Younes-Piro/DS_interview_RAG

This project gathers data from data science interviews, storing it in a ChromaDB using vector embeddings. Leveraging a Large Language Model (LLM), it functions as a Retrieval-Augmented Generation (RAG) system to answer questions based on this interview data.

Jupyter Notebook